Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA234A726332B87843DB92DEF7382E06B2D6588DE8CB4554B5C95ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:axbQ+EsZx8/G8te4QoDatQM7Bdt5M7Bz7Ucix+y9dQpUDF1E56ITmHDLBABW8KPp:axbQ+EsZ/8tJQoDatQM7Bdt5M7Bz7UXB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56cc591d5c4 |
|
VISUAL
aHash
|
f1858d8d81818181 |
|
VISUAL
dHash
|
235d5d5d49515951 |
|
VISUAL
wHash
|
ff8d8f8fa9818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
235d5d5d49515951,fef9f1e1f1f3e4e1,343038383cbc9c89,23d8dad8cc9898d8 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)